Machine Learning Engineer (Robotics)

Location: San Mateo or Pittsburgh, United States

Base salary: $100,000–$300,000 USD per year

Company

hirify.global develops general-purpose robotic intelligence that adapts to unseen scenarios through data-driven machine learning.

What you will do

• Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications.
• Design experiments to train RL models and conduct real-world robotic tests.
• Collaborate with researchers on novel approaches to scaling reinforcement learning model training.
• Work with inference, application, and deployment engineers to integrate RL models into robotic systems.
• Analyze experimental results and iterate on model designs to improve performance and enable robust deployment.
• Track the latest research and advances in reinforcement learning.

Requirements

• BS, MS, or higher in Computer Science, Robotics, Engineering, or a related field, or equivalent practical experience.
• Proficiency in Python, C++, or a similar language.
• Experience with at least one deep learning library, such as PyTorch, TensorFlow, or JAX.
• Strong practical understanding of reinforcement learning algorithms, including model-free, model-based, multi-task, hierarchical, and multi-agent methods.
• Strong background in algorithms, data structures, and software engineering principles.
• Experience with physics simulation engines and tools for reinforcement learning, plus industry experience with reinforcement learning and robotic systems.

Culture & Benefits

• Work on intelligent, adaptable robots designed to perform complex tasks autonomously.
• Collaborate across robotics, research, inference, application, and deployment engineering.
• Contribute to exploratory projects involving large-scale, data-driven machine learning.